{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "import math\n",
    "import tushare as ts\n",
    "pro = ts.pro_api('35d8848b876df93910413e8936c40745d7b7da42553ae73920862cd9')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 获取2支股票的历史价格时间序列"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ts_code</th>\n",
       "      <th>trade_date</th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>pre_close</th>\n",
       "      <th>change</th>\n",
       "      <th>pct_chg</th>\n",
       "      <th>vol</th>\n",
       "      <th>amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200228</td>\n",
       "      <td>14.85</td>\n",
       "      <td>15.04</td>\n",
       "      <td>14.46</td>\n",
       "      <td>14.50</td>\n",
       "      <td>15.11</td>\n",
       "      <td>-0.61</td>\n",
       "      <td>-4.0371</td>\n",
       "      <td>1300644.45</td>\n",
       "      <td>1906892.413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200227</td>\n",
       "      <td>14.96</td>\n",
       "      <td>15.15</td>\n",
       "      <td>14.89</td>\n",
       "      <td>15.11</td>\n",
       "      <td>14.99</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.8005</td>\n",
       "      <td>975270.90</td>\n",
       "      <td>1464605.739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200226</td>\n",
       "      <td>14.77</td>\n",
       "      <td>15.27</td>\n",
       "      <td>14.70</td>\n",
       "      <td>14.99</td>\n",
       "      <td>15.04</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>-0.3324</td>\n",
       "      <td>1176599.15</td>\n",
       "      <td>1769612.245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200225</td>\n",
       "      <td>15.00</td>\n",
       "      <td>15.13</td>\n",
       "      <td>14.78</td>\n",
       "      <td>15.04</td>\n",
       "      <td>15.23</td>\n",
       "      <td>-0.19</td>\n",
       "      <td>-1.2475</td>\n",
       "      <td>1144575.02</td>\n",
       "      <td>1710369.786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200224</td>\n",
       "      <td>15.46</td>\n",
       "      <td>15.46</td>\n",
       "      <td>15.15</td>\n",
       "      <td>15.23</td>\n",
       "      <td>15.58</td>\n",
       "      <td>-0.35</td>\n",
       "      <td>-2.2465</td>\n",
       "      <td>1191794.50</td>\n",
       "      <td>1820183.854</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     ts_code trade_date   open   high    low  close  pre_close  change  \\\n",
       "0  000001.SZ   20200228  14.85  15.04  14.46  14.50      15.11   -0.61   \n",
       "1  000001.SZ   20200227  14.96  15.15  14.89  15.11      14.99    0.12   \n",
       "2  000001.SZ   20200226  14.77  15.27  14.70  14.99      15.04   -0.05   \n",
       "3  000001.SZ   20200225  15.00  15.13  14.78  15.04      15.23   -0.19   \n",
       "4  000001.SZ   20200224  15.46  15.46  15.15  15.23      15.58   -0.35   \n",
       "\n",
       "   pct_chg         vol       amount  \n",
       "0  -4.0371  1300644.45  1906892.413  \n",
       "1   0.8005   975270.90  1464605.739  \n",
       "2  -0.3324  1176599.15  1769612.245  \n",
       "3  -1.2475  1144575.02  1710369.786  \n",
       "4  -2.2465  1191794.50  1820183.854  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "start_date = '20200101'\n",
    "end_date = '20200301'\n",
    "ts_1_code = '000001.SZ'\n",
    "ts_2_code = '000004.SZ'\n",
    "\n",
    "stock_1_price = pro.query('daily', ts_code=ts_1_code, start_date=start_date, end_date=end_date)\n",
    "\n",
    "stock_2_price = pro.query('daily', ts_code=ts_2_code, start_date=start_date, end_date=end_date)\n",
    "\n",
    "stock_1_price.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 计算000001.SZ的对数收益"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ts_code</th>\n",
       "      <th>trade_date</th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>pre_close</th>\n",
       "      <th>change</th>\n",
       "      <th>pct_chg</th>\n",
       "      <th>vol</th>\n",
       "      <th>amount</th>\n",
       "      <th>index</th>\n",
       "      <th>next_close</th>\n",
       "      <th>logreturn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>-1</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200227</td>\n",
       "      <td>14.96</td>\n",
       "      <td>15.15</td>\n",
       "      <td>14.89</td>\n",
       "      <td>15.11</td>\n",
       "      <td>14.99</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.8005</td>\n",
       "      <td>975270.90</td>\n",
       "      <td>1464605.739</td>\n",
       "      <td>0</td>\n",
       "      <td>14.99</td>\n",
       "      <td>-0.007973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200226</td>\n",
       "      <td>14.77</td>\n",
       "      <td>15.27</td>\n",
       "      <td>14.70</td>\n",
       "      <td>14.99</td>\n",
       "      <td>15.04</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>-0.3324</td>\n",
       "      <td>1176599.15</td>\n",
       "      <td>1769612.245</td>\n",
       "      <td>0</td>\n",
       "      <td>15.04</td>\n",
       "      <td>0.003330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200225</td>\n",
       "      <td>15.00</td>\n",
       "      <td>15.13</td>\n",
       "      <td>14.78</td>\n",
       "      <td>15.04</td>\n",
       "      <td>15.23</td>\n",
       "      <td>-0.19</td>\n",
       "      <td>-1.2475</td>\n",
       "      <td>1144575.02</td>\n",
       "      <td>1710369.786</td>\n",
       "      <td>0</td>\n",
       "      <td>15.23</td>\n",
       "      <td>0.012554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200224</td>\n",
       "      <td>15.46</td>\n",
       "      <td>15.46</td>\n",
       "      <td>15.15</td>\n",
       "      <td>15.23</td>\n",
       "      <td>15.58</td>\n",
       "      <td>-0.35</td>\n",
       "      <td>-2.2465</td>\n",
       "      <td>1191794.50</td>\n",
       "      <td>1820183.854</td>\n",
       "      <td>0</td>\n",
       "      <td>15.58</td>\n",
       "      <td>0.022721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200221</td>\n",
       "      <td>15.49</td>\n",
       "      <td>15.72</td>\n",
       "      <td>15.45</td>\n",
       "      <td>15.58</td>\n",
       "      <td>15.59</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>-0.0641</td>\n",
       "      <td>995071.02</td>\n",
       "      <td>1546692.930</td>\n",
       "      <td>0</td>\n",
       "      <td>15.59</td>\n",
       "      <td>0.000642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200220</td>\n",
       "      <td>15.27</td>\n",
       "      <td>15.62</td>\n",
       "      <td>15.10</td>\n",
       "      <td>15.59</td>\n",
       "      <td>15.24</td>\n",
       "      <td>0.35</td>\n",
       "      <td>2.2966</td>\n",
       "      <td>1235444.34</td>\n",
       "      <td>1897923.029</td>\n",
       "      <td>0</td>\n",
       "      <td>15.24</td>\n",
       "      <td>-0.022706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200219</td>\n",
       "      <td>15.10</td>\n",
       "      <td>15.37</td>\n",
       "      <td>15.08</td>\n",
       "      <td>15.24</td>\n",
       "      <td>15.20</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.2632</td>\n",
       "      <td>874106.93</td>\n",
       "      <td>1333730.218</td>\n",
       "      <td>0</td>\n",
       "      <td>15.20</td>\n",
       "      <td>-0.002628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200218</td>\n",
       "      <td>15.33</td>\n",
       "      <td>15.33</td>\n",
       "      <td>15.01</td>\n",
       "      <td>15.20</td>\n",
       "      <td>15.37</td>\n",
       "      <td>-0.17</td>\n",
       "      <td>-1.1061</td>\n",
       "      <td>973612.35</td>\n",
       "      <td>1478274.222</td>\n",
       "      <td>0</td>\n",
       "      <td>15.37</td>\n",
       "      <td>0.011122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200217</td>\n",
       "      <td>15.04</td>\n",
       "      <td>15.37</td>\n",
       "      <td>14.93</td>\n",
       "      <td>15.37</td>\n",
       "      <td>15.03</td>\n",
       "      <td>0.34</td>\n",
       "      <td>2.2621</td>\n",
       "      <td>1543696.01</td>\n",
       "      <td>2337993.586</td>\n",
       "      <td>0</td>\n",
       "      <td>15.03</td>\n",
       "      <td>-0.022369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200214</td>\n",
       "      <td>14.75</td>\n",
       "      <td>15.14</td>\n",
       "      <td>14.70</td>\n",
       "      <td>15.03</td>\n",
       "      <td>14.65</td>\n",
       "      <td>0.38</td>\n",
       "      <td>2.5939</td>\n",
       "      <td>1512434.73</td>\n",
       "      <td>2253906.452</td>\n",
       "      <td>0</td>\n",
       "      <td>14.65</td>\n",
       "      <td>-0.025608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200213</td>\n",
       "      <td>14.71</td>\n",
       "      <td>14.88</td>\n",
       "      <td>14.61</td>\n",
       "      <td>14.65</td>\n",
       "      <td>14.77</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>-0.8125</td>\n",
       "      <td>1013205.28</td>\n",
       "      <td>1491327.713</td>\n",
       "      <td>0</td>\n",
       "      <td>14.77</td>\n",
       "      <td>0.008158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200212</td>\n",
       "      <td>14.79</td>\n",
       "      <td>14.82</td>\n",
       "      <td>14.60</td>\n",
       "      <td>14.77</td>\n",
       "      <td>14.79</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>-0.1352</td>\n",
       "      <td>1070503.21</td>\n",
       "      <td>1573229.042</td>\n",
       "      <td>0</td>\n",
       "      <td>14.79</td>\n",
       "      <td>0.001353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200211</td>\n",
       "      <td>14.60</td>\n",
       "      <td>14.94</td>\n",
       "      <td>14.56</td>\n",
       "      <td>14.79</td>\n",
       "      <td>14.50</td>\n",
       "      <td>0.29</td>\n",
       "      <td>2.0000</td>\n",
       "      <td>1407507.44</td>\n",
       "      <td>2077194.138</td>\n",
       "      <td>0</td>\n",
       "      <td>14.50</td>\n",
       "      <td>-0.019803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200210</td>\n",
       "      <td>14.51</td>\n",
       "      <td>14.53</td>\n",
       "      <td>14.30</td>\n",
       "      <td>14.50</td>\n",
       "      <td>14.62</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>-0.8208</td>\n",
       "      <td>1339495.24</td>\n",
       "      <td>1931983.482</td>\n",
       "      <td>0</td>\n",
       "      <td>14.62</td>\n",
       "      <td>0.008242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200207</td>\n",
       "      <td>14.60</td>\n",
       "      <td>14.69</td>\n",
       "      <td>14.41</td>\n",
       "      <td>14.62</td>\n",
       "      <td>14.77</td>\n",
       "      <td>-0.15</td>\n",
       "      <td>-1.0156</td>\n",
       "      <td>924852.96</td>\n",
       "      <td>1345053.255</td>\n",
       "      <td>0</td>\n",
       "      <td>14.77</td>\n",
       "      <td>0.010208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200206</td>\n",
       "      <td>14.81</td>\n",
       "      <td>14.87</td>\n",
       "      <td>14.51</td>\n",
       "      <td>14.77</td>\n",
       "      <td>14.63</td>\n",
       "      <td>0.14</td>\n",
       "      <td>0.9569</td>\n",
       "      <td>1185815.72</td>\n",
       "      <td>1740107.625</td>\n",
       "      <td>0</td>\n",
       "      <td>14.63</td>\n",
       "      <td>-0.009524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200205</td>\n",
       "      <td>14.59</td>\n",
       "      <td>14.89</td>\n",
       "      <td>14.32</td>\n",
       "      <td>14.63</td>\n",
       "      <td>14.60</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.2055</td>\n",
       "      <td>1491380.21</td>\n",
       "      <td>2177632.043</td>\n",
       "      <td>0</td>\n",
       "      <td>14.60</td>\n",
       "      <td>-0.002053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200204</td>\n",
       "      <td>14.05</td>\n",
       "      <td>14.66</td>\n",
       "      <td>14.02</td>\n",
       "      <td>14.60</td>\n",
       "      <td>13.99</td>\n",
       "      <td>0.61</td>\n",
       "      <td>4.3603</td>\n",
       "      <td>1706172.07</td>\n",
       "      <td>2442932.842</td>\n",
       "      <td>0</td>\n",
       "      <td>13.99</td>\n",
       "      <td>-0.042679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200203</td>\n",
       "      <td>13.99</td>\n",
       "      <td>14.70</td>\n",
       "      <td>13.99</td>\n",
       "      <td>13.99</td>\n",
       "      <td>15.54</td>\n",
       "      <td>-1.55</td>\n",
       "      <td>-9.9743</td>\n",
       "      <td>2259194.83</td>\n",
       "      <td>3201454.164</td>\n",
       "      <td>0</td>\n",
       "      <td>15.54</td>\n",
       "      <td>0.105075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200123</td>\n",
       "      <td>15.92</td>\n",
       "      <td>15.92</td>\n",
       "      <td>15.39</td>\n",
       "      <td>15.54</td>\n",
       "      <td>16.09</td>\n",
       "      <td>-0.55</td>\n",
       "      <td>-3.4183</td>\n",
       "      <td>1100592.07</td>\n",
       "      <td>1723394.336</td>\n",
       "      <td>0</td>\n",
       "      <td>16.09</td>\n",
       "      <td>0.034781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200122</td>\n",
       "      <td>15.92</td>\n",
       "      <td>16.16</td>\n",
       "      <td>15.71</td>\n",
       "      <td>16.09</td>\n",
       "      <td>16.00</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.5625</td>\n",
       "      <td>719464.91</td>\n",
       "      <td>1150933.398</td>\n",
       "      <td>0</td>\n",
       "      <td>16.00</td>\n",
       "      <td>-0.005609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200121</td>\n",
       "      <td>16.34</td>\n",
       "      <td>16.34</td>\n",
       "      <td>15.93</td>\n",
       "      <td>16.00</td>\n",
       "      <td>16.45</td>\n",
       "      <td>-0.45</td>\n",
       "      <td>-2.7356</td>\n",
       "      <td>896603.10</td>\n",
       "      <td>1442171.431</td>\n",
       "      <td>0</td>\n",
       "      <td>16.45</td>\n",
       "      <td>0.027737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200120</td>\n",
       "      <td>16.43</td>\n",
       "      <td>16.61</td>\n",
       "      <td>16.35</td>\n",
       "      <td>16.45</td>\n",
       "      <td>16.39</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.3661</td>\n",
       "      <td>746074.75</td>\n",
       "      <td>1226464.649</td>\n",
       "      <td>0</td>\n",
       "      <td>16.39</td>\n",
       "      <td>-0.003654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200117</td>\n",
       "      <td>16.38</td>\n",
       "      <td>16.55</td>\n",
       "      <td>16.35</td>\n",
       "      <td>16.39</td>\n",
       "      <td>16.33</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.3674</td>\n",
       "      <td>605436.69</td>\n",
       "      <td>995909.007</td>\n",
       "      <td>0</td>\n",
       "      <td>16.33</td>\n",
       "      <td>-0.003667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200116</td>\n",
       "      <td>16.52</td>\n",
       "      <td>16.57</td>\n",
       "      <td>16.20</td>\n",
       "      <td>16.33</td>\n",
       "      <td>16.52</td>\n",
       "      <td>-0.19</td>\n",
       "      <td>-1.1501</td>\n",
       "      <td>1028104.67</td>\n",
       "      <td>1678888.507</td>\n",
       "      <td>0</td>\n",
       "      <td>16.52</td>\n",
       "      <td>0.011568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200115</td>\n",
       "      <td>16.79</td>\n",
       "      <td>16.86</td>\n",
       "      <td>16.45</td>\n",
       "      <td>16.52</td>\n",
       "      <td>16.76</td>\n",
       "      <td>-0.24</td>\n",
       "      <td>-1.4320</td>\n",
       "      <td>859439.12</td>\n",
       "      <td>1424889.228</td>\n",
       "      <td>0</td>\n",
       "      <td>16.76</td>\n",
       "      <td>0.014423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200114</td>\n",
       "      <td>16.99</td>\n",
       "      <td>17.27</td>\n",
       "      <td>16.76</td>\n",
       "      <td>16.76</td>\n",
       "      <td>16.99</td>\n",
       "      <td>-0.23</td>\n",
       "      <td>-1.3537</td>\n",
       "      <td>1304493.66</td>\n",
       "      <td>2217608.852</td>\n",
       "      <td>0</td>\n",
       "      <td>16.99</td>\n",
       "      <td>0.013630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200113</td>\n",
       "      <td>16.75</td>\n",
       "      <td>17.03</td>\n",
       "      <td>16.61</td>\n",
       "      <td>16.99</td>\n",
       "      <td>16.69</td>\n",
       "      <td>0.30</td>\n",
       "      <td>1.7975</td>\n",
       "      <td>872133.36</td>\n",
       "      <td>1468271.683</td>\n",
       "      <td>0</td>\n",
       "      <td>16.69</td>\n",
       "      <td>-0.017815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200110</td>\n",
       "      <td>16.79</td>\n",
       "      <td>16.81</td>\n",
       "      <td>16.52</td>\n",
       "      <td>16.69</td>\n",
       "      <td>16.79</td>\n",
       "      <td>-0.10</td>\n",
       "      <td>-0.5956</td>\n",
       "      <td>585548.45</td>\n",
       "      <td>975154.818</td>\n",
       "      <td>0</td>\n",
       "      <td>16.79</td>\n",
       "      <td>0.005974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200109</td>\n",
       "      <td>16.81</td>\n",
       "      <td>16.93</td>\n",
       "      <td>16.53</td>\n",
       "      <td>16.79</td>\n",
       "      <td>16.66</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.7803</td>\n",
       "      <td>1031636.65</td>\n",
       "      <td>1725326.806</td>\n",
       "      <td>0</td>\n",
       "      <td>16.66</td>\n",
       "      <td>-0.007773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200108</td>\n",
       "      <td>17.00</td>\n",
       "      <td>17.05</td>\n",
       "      <td>16.63</td>\n",
       "      <td>16.66</td>\n",
       "      <td>17.15</td>\n",
       "      <td>-0.49</td>\n",
       "      <td>-2.8571</td>\n",
       "      <td>847824.12</td>\n",
       "      <td>1423608.811</td>\n",
       "      <td>0</td>\n",
       "      <td>17.15</td>\n",
       "      <td>0.028988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200107</td>\n",
       "      <td>17.13</td>\n",
       "      <td>17.28</td>\n",
       "      <td>16.95</td>\n",
       "      <td>17.15</td>\n",
       "      <td>17.07</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.4687</td>\n",
       "      <td>728607.56</td>\n",
       "      <td>1247047.135</td>\n",
       "      <td>0</td>\n",
       "      <td>17.07</td>\n",
       "      <td>-0.004676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200106</td>\n",
       "      <td>17.01</td>\n",
       "      <td>17.34</td>\n",
       "      <td>16.91</td>\n",
       "      <td>17.07</td>\n",
       "      <td>17.18</td>\n",
       "      <td>-0.11</td>\n",
       "      <td>-0.6403</td>\n",
       "      <td>862083.50</td>\n",
       "      <td>1477930.193</td>\n",
       "      <td>0</td>\n",
       "      <td>17.18</td>\n",
       "      <td>0.006423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>20200103</td>\n",
       "      <td>16.94</td>\n",
       "      <td>17.31</td>\n",
       "      <td>16.92</td>\n",
       "      <td>17.18</td>\n",
       "      <td>16.87</td>\n",
       "      <td>0.31</td>\n",
       "      <td>1.8376</td>\n",
       "      <td>1116194.81</td>\n",
       "      <td>1914495.474</td>\n",
       "      <td>0</td>\n",
       "      <td>16.87</td>\n",
       "      <td>-0.018209</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       ts_code trade_date   open   high    low  close  pre_close  change  \\\n",
       "-1   000001.SZ   20200227  14.96  15.15  14.89  15.11      14.99    0.12   \n",
       " 0   000001.SZ   20200226  14.77  15.27  14.70  14.99      15.04   -0.05   \n",
       " 1   000001.SZ   20200225  15.00  15.13  14.78  15.04      15.23   -0.19   \n",
       " 2   000001.SZ   20200224  15.46  15.46  15.15  15.23      15.58   -0.35   \n",
       " 3   000001.SZ   20200221  15.49  15.72  15.45  15.58      15.59   -0.01   \n",
       " 4   000001.SZ   20200220  15.27  15.62  15.10  15.59      15.24    0.35   \n",
       " 5   000001.SZ   20200219  15.10  15.37  15.08  15.24      15.20    0.04   \n",
       " 6   000001.SZ   20200218  15.33  15.33  15.01  15.20      15.37   -0.17   \n",
       " 7   000001.SZ   20200217  15.04  15.37  14.93  15.37      15.03    0.34   \n",
       " 8   000001.SZ   20200214  14.75  15.14  14.70  15.03      14.65    0.38   \n",
       " 9   000001.SZ   20200213  14.71  14.88  14.61  14.65      14.77   -0.12   \n",
       " 10  000001.SZ   20200212  14.79  14.82  14.60  14.77      14.79   -0.02   \n",
       " 11  000001.SZ   20200211  14.60  14.94  14.56  14.79      14.50    0.29   \n",
       " 12  000001.SZ   20200210  14.51  14.53  14.30  14.50      14.62   -0.12   \n",
       " 13  000001.SZ   20200207  14.60  14.69  14.41  14.62      14.77   -0.15   \n",
       " 14  000001.SZ   20200206  14.81  14.87  14.51  14.77      14.63    0.14   \n",
       " 15  000001.SZ   20200205  14.59  14.89  14.32  14.63      14.60    0.03   \n",
       " 16  000001.SZ   20200204  14.05  14.66  14.02  14.60      13.99    0.61   \n",
       " 17  000001.SZ   20200203  13.99  14.70  13.99  13.99      15.54   -1.55   \n",
       " 18  000001.SZ   20200123  15.92  15.92  15.39  15.54      16.09   -0.55   \n",
       " 19  000001.SZ   20200122  15.92  16.16  15.71  16.09      16.00    0.09   \n",
       " 20  000001.SZ   20200121  16.34  16.34  15.93  16.00      16.45   -0.45   \n",
       " 21  000001.SZ   20200120  16.43  16.61  16.35  16.45      16.39    0.06   \n",
       " 22  000001.SZ   20200117  16.38  16.55  16.35  16.39      16.33    0.06   \n",
       " 23  000001.SZ   20200116  16.52  16.57  16.20  16.33      16.52   -0.19   \n",
       " 24  000001.SZ   20200115  16.79  16.86  16.45  16.52      16.76   -0.24   \n",
       " 25  000001.SZ   20200114  16.99  17.27  16.76  16.76      16.99   -0.23   \n",
       " 26  000001.SZ   20200113  16.75  17.03  16.61  16.99      16.69    0.30   \n",
       " 27  000001.SZ   20200110  16.79  16.81  16.52  16.69      16.79   -0.10   \n",
       " 28  000001.SZ   20200109  16.81  16.93  16.53  16.79      16.66    0.13   \n",
       " 29  000001.SZ   20200108  17.00  17.05  16.63  16.66      17.15   -0.49   \n",
       " 30  000001.SZ   20200107  17.13  17.28  16.95  17.15      17.07    0.08   \n",
       " 31  000001.SZ   20200106  17.01  17.34  16.91  17.07      17.18   -0.11   \n",
       " 32  000001.SZ   20200103  16.94  17.31  16.92  17.18      16.87    0.31   \n",
       "\n",
       "     pct_chg         vol       amount index  next_close  logreturn  \n",
       "-1    0.8005   975270.90  1464605.739     0       14.99  -0.007973  \n",
       " 0   -0.3324  1176599.15  1769612.245     0       15.04   0.003330  \n",
       " 1   -1.2475  1144575.02  1710369.786     0       15.23   0.012554  \n",
       " 2   -2.2465  1191794.50  1820183.854     0       15.58   0.022721  \n",
       " 3   -0.0641   995071.02  1546692.930     0       15.59   0.000642  \n",
       " 4    2.2966  1235444.34  1897923.029     0       15.24  -0.022706  \n",
       " 5    0.2632   874106.93  1333730.218     0       15.20  -0.002628  \n",
       " 6   -1.1061   973612.35  1478274.222     0       15.37   0.011122  \n",
       " 7    2.2621  1543696.01  2337993.586     0       15.03  -0.022369  \n",
       " 8    2.5939  1512434.73  2253906.452     0       14.65  -0.025608  \n",
       " 9   -0.8125  1013205.28  1491327.713     0       14.77   0.008158  \n",
       " 10  -0.1352  1070503.21  1573229.042     0       14.79   0.001353  \n",
       " 11   2.0000  1407507.44  2077194.138     0       14.50  -0.019803  \n",
       " 12  -0.8208  1339495.24  1931983.482     0       14.62   0.008242  \n",
       " 13  -1.0156   924852.96  1345053.255     0       14.77   0.010208  \n",
       " 14   0.9569  1185815.72  1740107.625     0       14.63  -0.009524  \n",
       " 15   0.2055  1491380.21  2177632.043     0       14.60  -0.002053  \n",
       " 16   4.3603  1706172.07  2442932.842     0       13.99  -0.042679  \n",
       " 17  -9.9743  2259194.83  3201454.164     0       15.54   0.105075  \n",
       " 18  -3.4183  1100592.07  1723394.336     0       16.09   0.034781  \n",
       " 19   0.5625   719464.91  1150933.398     0       16.00  -0.005609  \n",
       " 20  -2.7356   896603.10  1442171.431     0       16.45   0.027737  \n",
       " 21   0.3661   746074.75  1226464.649     0       16.39  -0.003654  \n",
       " 22   0.3674   605436.69   995909.007     0       16.33  -0.003667  \n",
       " 23  -1.1501  1028104.67  1678888.507     0       16.52   0.011568  \n",
       " 24  -1.4320   859439.12  1424889.228     0       16.76   0.014423  \n",
       " 25  -1.3537  1304493.66  2217608.852     0       16.99   0.013630  \n",
       " 26   1.7975   872133.36  1468271.683     0       16.69  -0.017815  \n",
       " 27  -0.5956   585548.45   975154.818     0       16.79   0.005974  \n",
       " 28   0.7803  1031636.65  1725326.806     0       16.66  -0.007773  \n",
       " 29  -2.8571   847824.12  1423608.811     0       17.15   0.028988  \n",
       " 30   0.4687   728607.56  1247047.135     0       17.07  -0.004676  \n",
       " 31  -0.6403   862083.50  1477930.193     0       17.18   0.006423  \n",
       " 32   1.8376  1116194.81  1914495.474     0       16.87  -0.018209  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_1_price = stock_1_price[::-1]  # 按时间升序展示\n",
    "\n",
    "stock_1_price['index'] = ['0'] * len(stock_1_price['close'])  # 若不存在index则使用该方法填充\n",
    "stock_1_price['next_close'] = stock_1_price.groupby('index')['close'].shift(-1)  # 生成next close值\n",
    "stock_1_price = stock_1_price.drop(index=stock_1_price.index[-1])  # 删除最后一交易日（因不存在next close值）\n",
    "\n",
    "logreturn = []\n",
    "for i in stock_1_price.index:\n",
    "    logreturn.append(math.log(stock_1_price['next_close'][i]/stock_1_price['close'][i]))\n",
    "\n",
    "stock_1_price['logreturn'] = logreturn\n",
    "\n",
    "stock_1_price"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 计算皮尔逊相关系数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "def multipl(a,b):\n",
    "    sumofab = 0.0\n",
    "    for i in range(len(a)):\n",
    "        temp = a[i] * b[i]\n",
    "        sumofab += temp\n",
    "    return sumofab\n",
    " \n",
    "def corrcoef(x,y):\n",
    "    n = len(x)\n",
    "    \n",
    "    #求和\n",
    "    sum1 = sum(x)\n",
    "    sum2 = sum(y)\n",
    "    \n",
    "    #求乘积之和\n",
    "    sumofxy = multipl(x,y)\n",
    "    \n",
    "    #求平方和\n",
    "    sumofx2 = sum([pow(i,2) for i in x])\n",
    "    sumofy2 = sum([pow(j,2) for j in y])\n",
    "    num = sumofxy-(float(sum1)*float(sum2)/n)\n",
    "    \n",
    "    den = math.sqrt((sumofx2-float(sum1**2)/n)*(sumofy2-float(sum2**2)/n))\n",
    "    \n",
    "    return num/den"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corrcoef(list(stock_1_price['logreturn']), list(stock_1_price['logreturn']))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 计算000002.SZ的对数收益"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ts_code</th>\n",
       "      <th>trade_date</th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>pre_close</th>\n",
       "      <th>change</th>\n",
       "      <th>pct_chg</th>\n",
       "      <th>vol</th>\n",
       "      <th>amount</th>\n",
       "      <th>index</th>\n",
       "      <th>next_close</th>\n",
       "      <th>logreturn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200227</td>\n",
       "      <td>35.81</td>\n",
       "      <td>39.96</td>\n",
       "      <td>33.93</td>\n",
       "      <td>37.00</td>\n",
       "      <td>37.42</td>\n",
       "      <td>-0.42</td>\n",
       "      <td>-1.1224</td>\n",
       "      <td>192268.71</td>\n",
       "      <td>705851.089</td>\n",
       "      <td>0</td>\n",
       "      <td>37.42</td>\n",
       "      <td>0.011287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200226</td>\n",
       "      <td>38.21</td>\n",
       "      <td>39.55</td>\n",
       "      <td>37.42</td>\n",
       "      <td>37.42</td>\n",
       "      <td>41.58</td>\n",
       "      <td>-4.16</td>\n",
       "      <td>-10.0048</td>\n",
       "      <td>141673.94</td>\n",
       "      <td>540539.274</td>\n",
       "      <td>0</td>\n",
       "      <td>41.58</td>\n",
       "      <td>0.105414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200225</td>\n",
       "      <td>40.00</td>\n",
       "      <td>41.58</td>\n",
       "      <td>36.70</td>\n",
       "      <td>41.58</td>\n",
       "      <td>37.80</td>\n",
       "      <td>3.78</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>279365.39</td>\n",
       "      <td>1111662.193</td>\n",
       "      <td>0</td>\n",
       "      <td>37.80</td>\n",
       "      <td>-0.095310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200224</td>\n",
       "      <td>37.80</td>\n",
       "      <td>37.80</td>\n",
       "      <td>37.80</td>\n",
       "      <td>37.80</td>\n",
       "      <td>34.36</td>\n",
       "      <td>3.44</td>\n",
       "      <td>10.0116</td>\n",
       "      <td>14243.09</td>\n",
       "      <td>53838.880</td>\n",
       "      <td>0</td>\n",
       "      <td>34.36</td>\n",
       "      <td>-0.095416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200221</td>\n",
       "      <td>34.00</td>\n",
       "      <td>34.36</td>\n",
       "      <td>33.00</td>\n",
       "      <td>34.36</td>\n",
       "      <td>31.24</td>\n",
       "      <td>3.12</td>\n",
       "      <td>9.9872</td>\n",
       "      <td>63137.42</td>\n",
       "      <td>215454.458</td>\n",
       "      <td>0</td>\n",
       "      <td>31.24</td>\n",
       "      <td>-0.095194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200220</td>\n",
       "      <td>29.37</td>\n",
       "      <td>31.24</td>\n",
       "      <td>25.56</td>\n",
       "      <td>31.24</td>\n",
       "      <td>28.40</td>\n",
       "      <td>2.84</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>150919.04</td>\n",
       "      <td>435957.820</td>\n",
       "      <td>0</td>\n",
       "      <td>28.40</td>\n",
       "      <td>-0.095310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200219</td>\n",
       "      <td>26.84</td>\n",
       "      <td>28.40</td>\n",
       "      <td>26.84</td>\n",
       "      <td>28.40</td>\n",
       "      <td>25.82</td>\n",
       "      <td>2.58</td>\n",
       "      <td>9.9923</td>\n",
       "      <td>28798.11</td>\n",
       "      <td>80680.600</td>\n",
       "      <td>0</td>\n",
       "      <td>25.82</td>\n",
       "      <td>-0.095240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200218</td>\n",
       "      <td>24.88</td>\n",
       "      <td>25.82</td>\n",
       "      <td>23.70</td>\n",
       "      <td>25.82</td>\n",
       "      <td>23.47</td>\n",
       "      <td>2.35</td>\n",
       "      <td>10.0128</td>\n",
       "      <td>65499.14</td>\n",
       "      <td>162710.522</td>\n",
       "      <td>0</td>\n",
       "      <td>23.47</td>\n",
       "      <td>-0.095426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200217</td>\n",
       "      <td>22.05</td>\n",
       "      <td>23.47</td>\n",
       "      <td>21.91</td>\n",
       "      <td>23.47</td>\n",
       "      <td>21.34</td>\n",
       "      <td>2.13</td>\n",
       "      <td>9.9813</td>\n",
       "      <td>29755.20</td>\n",
       "      <td>68272.475</td>\n",
       "      <td>0</td>\n",
       "      <td>21.34</td>\n",
       "      <td>-0.095140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200214</td>\n",
       "      <td>21.49</td>\n",
       "      <td>21.78</td>\n",
       "      <td>21.16</td>\n",
       "      <td>21.34</td>\n",
       "      <td>21.30</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.1878</td>\n",
       "      <td>14508.00</td>\n",
       "      <td>31093.681</td>\n",
       "      <td>0</td>\n",
       "      <td>21.30</td>\n",
       "      <td>-0.001876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200213</td>\n",
       "      <td>21.60</td>\n",
       "      <td>21.62</td>\n",
       "      <td>21.25</td>\n",
       "      <td>21.30</td>\n",
       "      <td>21.63</td>\n",
       "      <td>-0.33</td>\n",
       "      <td>-1.5257</td>\n",
       "      <td>13368.01</td>\n",
       "      <td>28599.546</td>\n",
       "      <td>0</td>\n",
       "      <td>21.63</td>\n",
       "      <td>0.015374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200212</td>\n",
       "      <td>21.37</td>\n",
       "      <td>21.76</td>\n",
       "      <td>21.10</td>\n",
       "      <td>21.63</td>\n",
       "      <td>21.37</td>\n",
       "      <td>0.26</td>\n",
       "      <td>1.2167</td>\n",
       "      <td>13620.00</td>\n",
       "      <td>29355.418</td>\n",
       "      <td>0</td>\n",
       "      <td>21.37</td>\n",
       "      <td>-0.012093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200211</td>\n",
       "      <td>21.82</td>\n",
       "      <td>21.92</td>\n",
       "      <td>21.21</td>\n",
       "      <td>21.37</td>\n",
       "      <td>21.90</td>\n",
       "      <td>-0.53</td>\n",
       "      <td>-2.4201</td>\n",
       "      <td>17746.45</td>\n",
       "      <td>38129.473</td>\n",
       "      <td>0</td>\n",
       "      <td>21.90</td>\n",
       "      <td>0.024499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200210</td>\n",
       "      <td>21.78</td>\n",
       "      <td>22.18</td>\n",
       "      <td>21.38</td>\n",
       "      <td>21.90</td>\n",
       "      <td>21.57</td>\n",
       "      <td>0.33</td>\n",
       "      <td>1.5299</td>\n",
       "      <td>22118.18</td>\n",
       "      <td>48091.949</td>\n",
       "      <td>0</td>\n",
       "      <td>21.57</td>\n",
       "      <td>-0.015183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200207</td>\n",
       "      <td>21.58</td>\n",
       "      <td>22.03</td>\n",
       "      <td>21.00</td>\n",
       "      <td>21.57</td>\n",
       "      <td>21.76</td>\n",
       "      <td>-0.19</td>\n",
       "      <td>-0.8732</td>\n",
       "      <td>25770.51</td>\n",
       "      <td>55235.268</td>\n",
       "      <td>0</td>\n",
       "      <td>21.76</td>\n",
       "      <td>0.008770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200206</td>\n",
       "      <td>21.16</td>\n",
       "      <td>22.18</td>\n",
       "      <td>20.91</td>\n",
       "      <td>21.76</td>\n",
       "      <td>21.12</td>\n",
       "      <td>0.64</td>\n",
       "      <td>3.0303</td>\n",
       "      <td>23748.00</td>\n",
       "      <td>51480.051</td>\n",
       "      <td>0</td>\n",
       "      <td>21.12</td>\n",
       "      <td>-0.029853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200205</td>\n",
       "      <td>19.71</td>\n",
       "      <td>21.36</td>\n",
       "      <td>19.71</td>\n",
       "      <td>21.12</td>\n",
       "      <td>19.73</td>\n",
       "      <td>1.39</td>\n",
       "      <td>7.0451</td>\n",
       "      <td>28554.50</td>\n",
       "      <td>58674.385</td>\n",
       "      <td>0</td>\n",
       "      <td>19.73</td>\n",
       "      <td>-0.068080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200204</td>\n",
       "      <td>18.51</td>\n",
       "      <td>20.10</td>\n",
       "      <td>18.51</td>\n",
       "      <td>19.73</td>\n",
       "      <td>20.54</td>\n",
       "      <td>-0.81</td>\n",
       "      <td>-3.9435</td>\n",
       "      <td>32157.10</td>\n",
       "      <td>62466.364</td>\n",
       "      <td>0</td>\n",
       "      <td>20.54</td>\n",
       "      <td>0.040234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200203</td>\n",
       "      <td>20.54</td>\n",
       "      <td>20.54</td>\n",
       "      <td>20.54</td>\n",
       "      <td>20.54</td>\n",
       "      <td>22.82</td>\n",
       "      <td>-2.28</td>\n",
       "      <td>-9.9912</td>\n",
       "      <td>4300.00</td>\n",
       "      <td>8832.200</td>\n",
       "      <td>0</td>\n",
       "      <td>22.82</td>\n",
       "      <td>0.105263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200123</td>\n",
       "      <td>23.01</td>\n",
       "      <td>23.80</td>\n",
       "      <td>22.45</td>\n",
       "      <td>22.82</td>\n",
       "      <td>23.70</td>\n",
       "      <td>-0.88</td>\n",
       "      <td>-3.7131</td>\n",
       "      <td>26265.72</td>\n",
       "      <td>60624.416</td>\n",
       "      <td>0</td>\n",
       "      <td>23.70</td>\n",
       "      <td>0.037838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200122</td>\n",
       "      <td>23.51</td>\n",
       "      <td>24.18</td>\n",
       "      <td>23.03</td>\n",
       "      <td>23.70</td>\n",
       "      <td>23.55</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.6369</td>\n",
       "      <td>25890.01</td>\n",
       "      <td>61303.986</td>\n",
       "      <td>0</td>\n",
       "      <td>23.55</td>\n",
       "      <td>-0.006349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200121</td>\n",
       "      <td>23.47</td>\n",
       "      <td>23.98</td>\n",
       "      <td>22.98</td>\n",
       "      <td>23.55</td>\n",
       "      <td>23.33</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.9430</td>\n",
       "      <td>27734.09</td>\n",
       "      <td>65161.618</td>\n",
       "      <td>0</td>\n",
       "      <td>23.33</td>\n",
       "      <td>-0.009386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200120</td>\n",
       "      <td>22.68</td>\n",
       "      <td>23.60</td>\n",
       "      <td>22.60</td>\n",
       "      <td>23.33</td>\n",
       "      <td>22.24</td>\n",
       "      <td>1.09</td>\n",
       "      <td>4.9011</td>\n",
       "      <td>28042.52</td>\n",
       "      <td>65069.386</td>\n",
       "      <td>0</td>\n",
       "      <td>22.24</td>\n",
       "      <td>-0.047848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200117</td>\n",
       "      <td>22.30</td>\n",
       "      <td>22.60</td>\n",
       "      <td>22.18</td>\n",
       "      <td>22.24</td>\n",
       "      <td>22.46</td>\n",
       "      <td>-0.22</td>\n",
       "      <td>-0.9795</td>\n",
       "      <td>10451.42</td>\n",
       "      <td>23375.135</td>\n",
       "      <td>0</td>\n",
       "      <td>22.46</td>\n",
       "      <td>0.009843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200116</td>\n",
       "      <td>22.81</td>\n",
       "      <td>22.81</td>\n",
       "      <td>22.13</td>\n",
       "      <td>22.46</td>\n",
       "      <td>22.55</td>\n",
       "      <td>-0.09</td>\n",
       "      <td>-0.3991</td>\n",
       "      <td>13060.55</td>\n",
       "      <td>29221.955</td>\n",
       "      <td>0</td>\n",
       "      <td>22.55</td>\n",
       "      <td>0.003999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200115</td>\n",
       "      <td>23.02</td>\n",
       "      <td>23.02</td>\n",
       "      <td>22.35</td>\n",
       "      <td>22.55</td>\n",
       "      <td>23.00</td>\n",
       "      <td>-0.45</td>\n",
       "      <td>-1.9565</td>\n",
       "      <td>14543.01</td>\n",
       "      <td>32867.949</td>\n",
       "      <td>0</td>\n",
       "      <td>23.00</td>\n",
       "      <td>0.019759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200114</td>\n",
       "      <td>22.96</td>\n",
       "      <td>23.36</td>\n",
       "      <td>22.75</td>\n",
       "      <td>23.00</td>\n",
       "      <td>23.03</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.1303</td>\n",
       "      <td>19488.16</td>\n",
       "      <td>44925.565</td>\n",
       "      <td>0</td>\n",
       "      <td>23.03</td>\n",
       "      <td>0.001303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200113</td>\n",
       "      <td>22.50</td>\n",
       "      <td>23.70</td>\n",
       "      <td>22.33</td>\n",
       "      <td>23.03</td>\n",
       "      <td>22.33</td>\n",
       "      <td>0.70</td>\n",
       "      <td>3.1348</td>\n",
       "      <td>35126.48</td>\n",
       "      <td>80788.795</td>\n",
       "      <td>0</td>\n",
       "      <td>22.33</td>\n",
       "      <td>-0.030867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200110</td>\n",
       "      <td>22.50</td>\n",
       "      <td>22.80</td>\n",
       "      <td>22.15</td>\n",
       "      <td>22.33</td>\n",
       "      <td>22.32</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0448</td>\n",
       "      <td>17227.00</td>\n",
       "      <td>38594.631</td>\n",
       "      <td>0</td>\n",
       "      <td>22.32</td>\n",
       "      <td>-0.000448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200109</td>\n",
       "      <td>22.11</td>\n",
       "      <td>22.50</td>\n",
       "      <td>21.80</td>\n",
       "      <td>22.32</td>\n",
       "      <td>21.78</td>\n",
       "      <td>0.54</td>\n",
       "      <td>2.4793</td>\n",
       "      <td>12415.32</td>\n",
       "      <td>27618.678</td>\n",
       "      <td>0</td>\n",
       "      <td>21.78</td>\n",
       "      <td>-0.024491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200108</td>\n",
       "      <td>21.91</td>\n",
       "      <td>22.77</td>\n",
       "      <td>21.78</td>\n",
       "      <td>21.78</td>\n",
       "      <td>22.10</td>\n",
       "      <td>-0.32</td>\n",
       "      <td>-1.4480</td>\n",
       "      <td>15503.78</td>\n",
       "      <td>34574.063</td>\n",
       "      <td>0</td>\n",
       "      <td>22.10</td>\n",
       "      <td>0.014585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200107</td>\n",
       "      <td>21.80</td>\n",
       "      <td>22.20</td>\n",
       "      <td>21.67</td>\n",
       "      <td>22.10</td>\n",
       "      <td>21.75</td>\n",
       "      <td>0.35</td>\n",
       "      <td>1.6092</td>\n",
       "      <td>17433.20</td>\n",
       "      <td>38299.735</td>\n",
       "      <td>0</td>\n",
       "      <td>21.75</td>\n",
       "      <td>-0.015964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200106</td>\n",
       "      <td>22.20</td>\n",
       "      <td>22.20</td>\n",
       "      <td>21.55</td>\n",
       "      <td>21.75</td>\n",
       "      <td>22.35</td>\n",
       "      <td>-0.60</td>\n",
       "      <td>-2.6846</td>\n",
       "      <td>20316.99</td>\n",
       "      <td>44304.874</td>\n",
       "      <td>0</td>\n",
       "      <td>22.35</td>\n",
       "      <td>0.027213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>20200103</td>\n",
       "      <td>22.31</td>\n",
       "      <td>22.48</td>\n",
       "      <td>22.03</td>\n",
       "      <td>22.35</td>\n",
       "      <td>22.33</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.0896</td>\n",
       "      <td>13380.09</td>\n",
       "      <td>29779.317</td>\n",
       "      <td>0</td>\n",
       "      <td>22.33</td>\n",
       "      <td>-0.000895</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      ts_code trade_date   open   high    low  close  pre_close  change  \\\n",
       "1   000004.SZ   20200227  35.81  39.96  33.93  37.00      37.42   -0.42   \n",
       "2   000004.SZ   20200226  38.21  39.55  37.42  37.42      41.58   -4.16   \n",
       "3   000004.SZ   20200225  40.00  41.58  36.70  41.58      37.80    3.78   \n",
       "4   000004.SZ   20200224  37.80  37.80  37.80  37.80      34.36    3.44   \n",
       "5   000004.SZ   20200221  34.00  34.36  33.00  34.36      31.24    3.12   \n",
       "6   000004.SZ   20200220  29.37  31.24  25.56  31.24      28.40    2.84   \n",
       "7   000004.SZ   20200219  26.84  28.40  26.84  28.40      25.82    2.58   \n",
       "8   000004.SZ   20200218  24.88  25.82  23.70  25.82      23.47    2.35   \n",
       "9   000004.SZ   20200217  22.05  23.47  21.91  23.47      21.34    2.13   \n",
       "10  000004.SZ   20200214  21.49  21.78  21.16  21.34      21.30    0.04   \n",
       "11  000004.SZ   20200213  21.60  21.62  21.25  21.30      21.63   -0.33   \n",
       "12  000004.SZ   20200212  21.37  21.76  21.10  21.63      21.37    0.26   \n",
       "13  000004.SZ   20200211  21.82  21.92  21.21  21.37      21.90   -0.53   \n",
       "14  000004.SZ   20200210  21.78  22.18  21.38  21.90      21.57    0.33   \n",
       "15  000004.SZ   20200207  21.58  22.03  21.00  21.57      21.76   -0.19   \n",
       "16  000004.SZ   20200206  21.16  22.18  20.91  21.76      21.12    0.64   \n",
       "17  000004.SZ   20200205  19.71  21.36  19.71  21.12      19.73    1.39   \n",
       "18  000004.SZ   20200204  18.51  20.10  18.51  19.73      20.54   -0.81   \n",
       "19  000004.SZ   20200203  20.54  20.54  20.54  20.54      22.82   -2.28   \n",
       "20  000004.SZ   20200123  23.01  23.80  22.45  22.82      23.70   -0.88   \n",
       "21  000004.SZ   20200122  23.51  24.18  23.03  23.70      23.55    0.15   \n",
       "22  000004.SZ   20200121  23.47  23.98  22.98  23.55      23.33    0.22   \n",
       "23  000004.SZ   20200120  22.68  23.60  22.60  23.33      22.24    1.09   \n",
       "24  000004.SZ   20200117  22.30  22.60  22.18  22.24      22.46   -0.22   \n",
       "25  000004.SZ   20200116  22.81  22.81  22.13  22.46      22.55   -0.09   \n",
       "26  000004.SZ   20200115  23.02  23.02  22.35  22.55      23.00   -0.45   \n",
       "27  000004.SZ   20200114  22.96  23.36  22.75  23.00      23.03   -0.03   \n",
       "28  000004.SZ   20200113  22.50  23.70  22.33  23.03      22.33    0.70   \n",
       "29  000004.SZ   20200110  22.50  22.80  22.15  22.33      22.32    0.01   \n",
       "30  000004.SZ   20200109  22.11  22.50  21.80  22.32      21.78    0.54   \n",
       "31  000004.SZ   20200108  21.91  22.77  21.78  21.78      22.10   -0.32   \n",
       "32  000004.SZ   20200107  21.80  22.20  21.67  22.10      21.75    0.35   \n",
       "33  000004.SZ   20200106  22.20  22.20  21.55  21.75      22.35   -0.60   \n",
       "34  000004.SZ   20200103  22.31  22.48  22.03  22.35      22.33    0.02   \n",
       "\n",
       "    pct_chg        vol       amount index  next_close  logreturn  \n",
       "1   -1.1224  192268.71   705851.089     0       37.42   0.011287  \n",
       "2  -10.0048  141673.94   540539.274     0       41.58   0.105414  \n",
       "3   10.0000  279365.39  1111662.193     0       37.80  -0.095310  \n",
       "4   10.0116   14243.09    53838.880     0       34.36  -0.095416  \n",
       "5    9.9872   63137.42   215454.458     0       31.24  -0.095194  \n",
       "6   10.0000  150919.04   435957.820     0       28.40  -0.095310  \n",
       "7    9.9923   28798.11    80680.600     0       25.82  -0.095240  \n",
       "8   10.0128   65499.14   162710.522     0       23.47  -0.095426  \n",
       "9    9.9813   29755.20    68272.475     0       21.34  -0.095140  \n",
       "10   0.1878   14508.00    31093.681     0       21.30  -0.001876  \n",
       "11  -1.5257   13368.01    28599.546     0       21.63   0.015374  \n",
       "12   1.2167   13620.00    29355.418     0       21.37  -0.012093  \n",
       "13  -2.4201   17746.45    38129.473     0       21.90   0.024499  \n",
       "14   1.5299   22118.18    48091.949     0       21.57  -0.015183  \n",
       "15  -0.8732   25770.51    55235.268     0       21.76   0.008770  \n",
       "16   3.0303   23748.00    51480.051     0       21.12  -0.029853  \n",
       "17   7.0451   28554.50    58674.385     0       19.73  -0.068080  \n",
       "18  -3.9435   32157.10    62466.364     0       20.54   0.040234  \n",
       "19  -9.9912    4300.00     8832.200     0       22.82   0.105263  \n",
       "20  -3.7131   26265.72    60624.416     0       23.70   0.037838  \n",
       "21   0.6369   25890.01    61303.986     0       23.55  -0.006349  \n",
       "22   0.9430   27734.09    65161.618     0       23.33  -0.009386  \n",
       "23   4.9011   28042.52    65069.386     0       22.24  -0.047848  \n",
       "24  -0.9795   10451.42    23375.135     0       22.46   0.009843  \n",
       "25  -0.3991   13060.55    29221.955     0       22.55   0.003999  \n",
       "26  -1.9565   14543.01    32867.949     0       23.00   0.019759  \n",
       "27  -0.1303   19488.16    44925.565     0       23.03   0.001303  \n",
       "28   3.1348   35126.48    80788.795     0       22.33  -0.030867  \n",
       "29   0.0448   17227.00    38594.631     0       22.32  -0.000448  \n",
       "30   2.4793   12415.32    27618.678     0       21.78  -0.024491  \n",
       "31  -1.4480   15503.78    34574.063     0       22.10   0.014585  \n",
       "32   1.6092   17433.20    38299.735     0       21.75  -0.015964  \n",
       "33  -2.6846   20316.99    44304.874     0       22.35   0.027213  \n",
       "34   0.0896   13380.09    29779.317     0       22.33  -0.000895  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_2_price = stock_2_price[::-1]  # 按时间升序展示\n",
    "\n",
    "stock_2_price['index'] = ['0'] * len(stock_2_price['close'])  # 若不存在index则使用该方法填充\n",
    "stock_2_price['next_close'] = stock_2_price.groupby('index')['close'].shift(-1)  # 生成next close值\n",
    "stock_2_price = stock_2_price.drop(index=stock_2_price.index[-1])  # 删除最后一交易日（因不存在next close值）\n",
    "\n",
    "logreturn = []\n",
    "for i in stock_2_price.index:\n",
    "    logreturn.append(math.log(stock_2_price['next_close'][i]/stock_2_price['close'][i]))\n",
    "\n",
    "stock_2_price['logreturn'] = logreturn\n",
    "\n",
    "stock_2_price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "35"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(list(stock_1_price['logreturn']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "35"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(list(stock_2_price['logreturn']))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 计算stock_1_price和stock_2_price的皮尔逊相关系数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.24605475817036795"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corrcoef(list(stock_1_price['logreturn']), list(stock_2_price['logreturn']))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 计算stock_1_price和stock_2_price的余弦相似度(cosine_similarity)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.17821427396241268\n"
     ]
    }
   ],
   "source": [
    "stock_1_lr = stock_1_price['logreturn']\n",
    "stock_2_lr = stock_2_price['logreturn']\n",
    "cosine = np.dot(stock_1_lr, stock_2_lr) / (np.linalg.norm(stock_1_lr) * (np.linalg.norm(stock_2_lr)))\n",
    "print(cosine)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 计算股票间动态时间规整距离"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.0032511  0.00345505 0.00406615 0.0038912  0.00421065 0.0036387 ]\n",
      "0\n",
      "0.05550198981744351\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/dtaidistance/dtw.py:428: RuntimeWarning: invalid value encountered in sqrt\n",
      "  dtw = np.sqrt(dtw)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(<Figure size 720x720 with 4 Axes>,\n",
       " [<AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>])"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from dtaidistance import dtw\n",
    "from dtaidistance import dtw_visualisation as dtwvis\n",
    "\n",
    "path1, path2 = \"../data/000001.XSHE.csv\", \"../data/000063.XSHE.csv\"\n",
    "feature = \"rclose\"\n",
    "length = 20\n",
    "window, psi = 10, 5\n",
    "\n",
    "rc1, rc2 = pd.read_csv(path1)[feature][:length],pd.read_csv(path2)[feature][:length]\n",
    "dis, paths = dtw.warping_paths(rc1, rc2, window=window, psi=psi)\n",
    "\n",
    "# 动态时间规整距离\n",
    "print(dis)\n",
    "\n",
    "# 绘图（输出形式）\n",
    "best_path = dtw.best_path(paths)\n",
    "dtwvis.plot_warpingpaths(stock_1_lr, stock_2_lr, paths, best_path,shownumbers=True)\n",
    "\n",
    "# 绘图（保存）\n",
    "# path = dtw.warping_path(stock_1_lr, stock_2_lr)\n",
    "# dtwvis.plot_warping(stock_1_lr, stock_2_lr, path, filename=\"wrapping.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
